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Tomographic Imaging of a Forested Area By Airborne Multi-Baseline P-Band SAR

机译:机载多基线P波段SAR对林区的层析成像

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In recent years, various attempts have been undertaken to obtain information about the structure of forested areas from multi-baseline synthetic aperture radar data. Tomographic processing of such data has been demonstrated for airborne L-band data but the quality of the focused tomographic images is limited by several factors. In particular, the common Fourier-based focusing methods are susceptible to irregular and sparse sampling, two problems, that are unavoidable in case of multi-pass, multi-baseline SAR data acquired by an airborne system. In this paper, a tomographic focusing method based on the time-domain back-projection algorithm is proposed, which maintains the geometric relationship between the original sensor positions and the imaged target and is therefore able to cope with irregular sampling without introducing any approximations with respect to the geometry. The tomographic focusing quality is assessed by analysing the impulse response of simulated point targets and an in-scene corner reflector. And, in particular, several tomographic slices of a volume representing a forested area are given. The respective P-band tomographic data set consisting of eleven flight tracks has been acquired by the airborne E-SAR sensor of the German Aerospace Center (DLR).
机译:近年来,已经进行了各种尝试来从多基线合成孔径雷达数据中获取有关林区结构的信息。已经对机载L波段数据进行了此类数据的断层处理,但聚焦断层图像的质量受到几个因素的限制。特别地,基于常规傅立叶的聚焦方法容易受到不规则采样和稀疏采样这两个问题的困扰,这在机载系统获取多通道,多基线SAR数据时是不可避免的。本文提出了一种基于时域反投影算法的层析成像聚焦方法,该方法保持了原始传感器位置和成像目标之间的几何关系,因此能够在不引入任何近似的情况下应对不规则采样。几何。通过分析模拟点目标和现场角反射器的脉冲响应来评估层析成像的聚焦质量。并且,特别地,给出了代表森林区域的体积的几个断层摄影切片。由德国航空航天中心(DLR)的机载E-SAR传感器获取了由11条飞行轨迹组成的各个P波段断层扫描数据集。

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